Milkyweb reposted this
Great talk from Ryan Petersen (CEO Flexport) on AI in logistics. Main points that resonated with me: ▶️ Logistics is a “shockingly manual” industry where most work still lives in unstructured communication channels (email threads, spreadsheets, calls), and AI’s role is to automate that layer rather than forklifts and ships. ▶️ Roughly 10% of total shipping cost is the human labor in freight forwarding – people reading emails, chasing updates, filling forms – and Flexport bets that AI can automate the majority of that work, dropping ocean freight costs by 8–10%. ▶️ Flexport runs sentiment analysis on customer messages; if the model detects that a customer sounds unhappy, it automatically escalates to a manager, so issues get attention before they explode, without managers reading every email. ▶️ Flexport has already automated about 20% of operations work, expects to end the year near 50%, and now believes 90–95% is possible. Most of that is exactly the routine, repetitive communication and follow-up work that used to live in inboxes. ▶️ Ryan argues that the winners will be the firms that deliver the same service with fewer people, and that humans will always find new things to want. He’s not worried about long-term mass unemployment from AI. At Milkyweb, email processing automation is exactly what we’ve been focused on over the last few years. Our goal is to minimize manual inbox work and build an intelligent system that can reliably handle the entire operational workload of a company, not just isolated tasks. If you want to turn your communication chaos into an automation conveyor for your business, DM me and let’s talk.
Logistics is a multi-trillion-dollar industry that quietly powers the entire global economy — and it's shockingly manual. Ryan Petersen, founder & CEO of Flexport, joins the Lightcone to break down how AI is finally touching the physical world: making shipping cheaper, speeding up global trade, and automating work that used to live inside emails, spreadsheets, and phone calls. Tune in for the full episode: https://lnkd.in/gW22EUUm